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1.
Rev Esp Patol ; 55(3): 149-155, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35779880

RESUMO

INTRODUCTION: The examination of morphological alterations in tissues is fundamental in Pathology. Traditional training in gross dissection has several limitations, including the risk of transmissible diseases, formaldehyde exposure and limited specimen availability. We describe a teaching method using anatomical simulators. METHODS: Liquid silicone-based artisan neoplastic anatomical models were used in conjunction with clinical scenarios. Eighty-five medical students participated in a gross dissection experience and were asked to complete a feedback questionnaire. Additionally, a workshop was organized for students to compare three different teaching methods. The first one used still images (Group1-G1), the second a video explanation (Group2-G2), and the third directly observed a pathologist while grossing (Group3-G3). RESULTS: The knowledge acquisition questionnaire showed an average value of 4.4 out of 5 (1-5) (range 3.4-4.7, σ0.89). The categories 'knowledge of resection margins' and 'macroscopic diagnosis' received the highest values (4.8, σ0.11 and 4.7, σ0.32, respectively), followed by 'understanding of handling and gross examination of the surgical specimen' (4.5, σ0.49), 'prognosis' (4.3, σ0.67) and 'understanding of a tumor resection' (3.9, σ0.96) (p<0.05). Regarding teaching methods, G3 spent less time than G2 and G1 with mean times of 15'39″ (σ2'12″), 16'50″ (σ3'45″), and 17'52″ (σ2'12″), respectively (p<0.05). Gross dissection marks (0-5) showed statistically significant differences (p<0.05). G2 obtained better results (3.7;σ0.54) than G3 (3.4;σ0.94) or G1 (3.1;σ0.8). CONCLUSIONS: This preliminary study demonstrates that it is possible to implement a gross dissection simulation module at medical school and thus enable the acquisition of skills in a secure environment.


Assuntos
Dissecação , Estudantes de Medicina , Dissecação/educação , Humanos , Modelos Anatômicos , Faculdades de Medicina , Inquéritos e Questionários
2.
Rev Esp Patol ; 55(1): 19-25, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-34980436

RESUMO

INTRODUCTION: The high prevalence of musculoskeletal disorders in pathologists, together with the current trend towards the digitization of pathology, prompted us to study the different types of input devices employed during the revision of whole slide images, in order to investigate the pattern and extent of muscle activity involved in their use. MATERIAL AND METHODS: A comparative study was made of 10 input devices (conventional and vertical mouse, three trackballs, the Ergopointer™, the Rollermouse™, an optical pen mouse, a touchpad, and the Leap Motion™). Six medical students performed a standardized circuit using a Fitts' Law based tissue array, digitized. The electrical activity of seven upper limb muscles (adductor pollicis, extensor pollicis longus, extensor digitorum, flexor digitorum, middle deltoid, upper trapezius, and middle trapezius) was measured using surface electromyography. RESULTS: Statistically significant differences in the overall electrical activity among the different input devices, both absolute values in mV as well as normalized values to the upper limb at rest, were observed (p<0.001); the Rollermouse™ (0.1027mV; 139%), Logitech M570 trackball (0.1053mV; 145%), Ergopointer™ (0.1151mV; 167%), conventional mouse (0.1251mV; 191%), and vertical mouse (0.1312mV; 205%) required less activity, while the optical pen mouse (0.1717mV; 299%), Leap Motion™ (0.1803mV; 319%), Expert Mouse trackball (0.1845mV; 329%), EIGIIS trackball (0.2442mV; 468%) and the touchpad (0.2560mV; 496%) required greater muscle mobilization. CONCLUSION: We designed a system based on Fitts' Law to compare input devices in digital pathology. Variability between compared devices and muscle activity was found. Long-term use could result in different muscular fatigue patterns. Even though the selection of an input device is a matter of personal preference, its impact on ergonomics should be considered.


Assuntos
Ergonomia , Músculo Esquelético , Eletromiografia , Humanos , Músculo Esquelético/fisiologia
3.
Diagn Cytopathol ; 47(4): 297-301, 2019 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-30474299

RESUMO

OBJECTIVES: Fine needle aspiration (FNA) is an invaluable diagnostic procedure for evaluation of lesions; however, acquisition of diagnostic material is dependent on the skill of the practitioner. We report a novel patient simulator for teaching the FNA procedure and structured assessment tools for educators and learners. METHODS: We created a novel simulator model for FNA training, employed a standardized teaching module, and assessed procedure utility in medical students. Groups of students completed training using a commercial version of the model, and underwent structured evaluation using an Objective Structured Assessment of Technical Skills (OSATS) form, and the Debriefing Assessment for Simulation in Healthcare (DASH) tool. RESULTS: In the initial phase, 178 students rated the training workshop between valuable and essential (4.2 on a 5-point Likert scale). In the second phase, for students evaluated with the OSATS form, the mean overall score was 33 out of 50 (range 26-43). The areas of weakness for the participants were: (a) compression after the FNA procedure, (b) completion of the informed consent, and (c) correct explanation of the procedure to the patient. For the group of students that completed the DASH questionnaire, the results were: 6.2 (assessment by students) and 6.7 (assessment by instructor) out of a maximum of 7. CONCLUSION: A realistic simulation model, in combination with a standardized training program with formal assessment methods is a valuable tool to teach FNA. We here describe a process for teaching the FNA procedure to interested educators and learners.


Assuntos
Educação de Pós-Graduação em Medicina/métodos , Oncologia/educação , Treinamento por Simulação/métodos , Biópsia por Agulha Fina/instrumentação , Biópsia por Agulha Fina/métodos , Humanos , Oncologia/instrumentação , Oncologia/métodos
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